Code for random Fourier features based on Rahimi and Recht's 2007 paper.
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Estimation and hypothesis tests of calibration in Python using CalibrationErrors.jl and Calibrati...
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Machine learning, in numpy
Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
Python implementation of randomized SVD
Minimax Optimization, Stackelberg Games, Generative Adversarial Networks
Explore the double-descent phenomena in the context of system identification. Companion code to t...
Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.o...
Python implementation of "Elliptic Fourier Features of a Closed Contour"
Random feature latent variable models in Python
Bayesian linear regression.
Fast Random Kernelized Features: Support Vector Machine Classification for High-Dimensional IDC D...
Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba
Various estimators of the infinite dimensional exponential family model